A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications

Code & Dataset Description This repository contains simulation data and analysis scripts accompanying the paper titled "A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications". The repository includes: Source Code & Scripts PIMI Python source code (src.zip), GPU run scripts for PIMI (gpu_run_scripts.zip), Yosys scripts for mapping the FPGA design to ASIC (yosys_scripts.zip). MIMO Detection Raw FPGA simulation output for 8×8 and 16×16 MIMO configurations (8x8_MIMO_results.zip, 16x16_MIMO_results.zip), BER analysis code (BER_analysis_8x8_MIMO.zip, BER_analysis_16x16_MIMO.zip), and timing estimation scripts (mimo_timing.zip). Max-Cut and SK-Model Benchmarking Problem instances (mc_sk_instances.zip), analysis code (mc_sk_analysis.zip), and full raw simulation data (mc_sk_analysis_data.zip). The code and data were developed and tested on Ubuntu 22.04. The FPGA implementation was developed using AMD/Xilinx Vitis HLS 2023.1 and experimentally evaluated on an AMD/Xilinx Alveo U55C FPGA accelerator card.